5 papers
PtyRANNOSAUR: Ptychography with Robust Artificial Neural Networks Optimized for Sub-Angstrom Accuracy and Ultrafast Reconstruction
Kieran Loehr, Rahim Raja, Xiaochuan Ding +5
We present PtyRANNOSAUR, a data-driven neural network code that reconstructs atomic resolution electron ptychography data in seconds, 10-100x faster than standard methods. PtyRANNO…
Atomic and Electronic Structure of Strongly Charged Domain Walls in van der Waals α-InSe
Gillian Nolan, Edmund Han, Shahriar Muhammad Nahid +4
Here, we use atomic resolution scanning transmission electron microscopy (STEM) and first principles calculations to study the atomic and electronic structure of strongly charged d…
Superconducting Sn-Intercalated TaSe: Structural Diversity Obscured by Routine Characterization Techniques
Brenna C. Bierman, Gillian Nolan, Hongrui Ma +3
Using Sn-intercalated TaSe as a model system, we demonstrate the presence of structural heterogeneity captured by single-crystal X-ray diffraction (SCXRD) and scanning transmis…
Field-effect transistors based on charged domain walls in van der Waals ferroelectric α-InSe
Shahriar Muhammad Nahid, Haiyue Dong, Gillian Nolan +5
Charged domain walls (CDW) in ferroelectrics are emerging as functional interfaces with potential applications in nonvolatile memory, logic, and neuromorphic computing. However, CD…
A Topological Superconductor Tuned by Electronic Correlations
Haoran Lin, Christopher L. Jacobs, Chenhui Yan +15
A topological superconductor, characterized by either a chiral order parameter or a chiral topological surface state in proximity to bulk superconductivity, is foundational to topo…